Statistics (Medical Statistics) MSc
Medical Statistics is a fundamental scientific component of health research. As new and more complex biomedical problems emerge, medical statistics faces a challenge in terms of both the novel application of existing methods and the development of new superior methods. New and exciting opportunities await the graduate who has gained the quantitative skills training provided by this MSc.
Mode of study
- Full-time 1 year
- Part-time 2 years
- UK/EU Full-time: £8,500
- UK/EU Part-time: £4,250
- Overseas Full-time: £16,750
- Overseas Part-time: £8,500
- All applicants: 15 May 2014
More details in Application section.
What will I learn?
The UCL Medical Statistics pathway provides students with a sound background in theoretical statistics as well as practical hands on experience in designing, analysing and interpreting health studies. The programme also provides opportunities to interact with the medical researchers working in the UCL Comprehensive Biomedical Research Centre and the UCL Clinical Trials Units.
Why should I study this degree at UCL?
One of the strengths of Statistical Science at UCL is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.
UCL is linked with four NHS Hospital Trusts and hosts three Biomedical Research Centres, three clinical trial units and an Institute of CLinical Trials and Methodology. This structure provides established networks of clinicians and scientists who can provide high quality biomedical projects for Masters students and excellent opportunities for the student to be exposed to high quality postgraduate teaching and medical research.
The programme has been accredited by the Royal Statistical Society. Graduates will automatically be granted the Society's Graduate Statistician status on application to the Society.
Students undertake modules to the value of 180 credits. The programme consists of a foundation course, seven core modules (105 credits) one optional module (15 credits) and the research dissertation (60 credits).
All MSc students undertake an individual research project, culminating in a dissertation of 10,000–12,000 words. Workshops provide preparation for this project and run during the teaching terms, covering the communication of statistics e.g. the presentation of statistical graphs and tables.
Teaching and Learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. External organisations deliver technical lectures and seminars where possible. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15 minute presentation.
Further details available on subject website:
Further information about funding and scholarships can be found on the Scholarships and funding website.
A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.
Select your country for equivalent alternative requirements
English language proficiency level: Standard
How to apply
The application deadline for this programme is 15 May 2014. Please note that if you apply to the Statistics (Medical Statistics) MSc after 15 March 2014 (the closing date for the Statistics MSc) then there is no guarantee whatsoever that you will be able to transfer to the Statistics MSc either later in the admissions process or after having enrolled at UCL. Therefore, you should only apply if you are genuinely interested in Medical Statistics.
Who can apply?
The programme is accessible to students with first degrees in a quantitative discipline, (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics) who wish to gain advanced training in medical statistical theory and applications to enable them to enter specialist employment or academic research.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Statistics (Medical Statistics) at graduate level
- why you want to study Statistics (Medical Statistics) at UCL
- what particularly attracts you to this programme
- how your academic background meets the demands of this programme
- where you would like to go professionally with your degree
Medical statisticians enable the application of the best possible quantitative methods in health research and assist in the reliable translation of research findings to public and patients’ health care.
The Statistics (Medical Statistics) MSc is a relatively new programme with the first cohort of students graduating in 2012.
Top career destinations for this programme
- GlaxoSmithKline, Medical Statistician, 2011
- IMS Health, Statistician, 2010
- Medical Research Council, Medical Statistician, 2009
- National Health Service, Analyst, 2010
- UCL, PhD Statistical Science, 2011
There is an acute shortage of medical statisticians in the UK and employment opportunities are excellent. Recent graduates from this programme have been employed by clinical trials units, pharmaceutical industry, NHS trusts and Universities (e.g. London School of Hygiene and Tropical Medicine, UCL).
"The department offers a huge variety of seminars where I learn much more than just about my specific research topic. We are always motivated to participate at workshops and conferences. In under one year I have already been to three conferences, including one in Germany."
"UCL has an amazing portfolio of research. As a statistician I get to play with data from many different fields, which is exciting. Collaborating with other scientists at UCL enables me to contribute to a wide array of scientific disciplines."
Professor Sofia Olhede
Professor of Statistics